--- license: apache-2.0 task_categories: - text-generation language: - en tags: - conversational-search - query-rewriting - cqr --- # Conversational Query Rewriting (CQR) Dataset Unified dataset for training CQR models. Combines human-annotated rewrites from QReCC, CANARD, and Redis examples. ## Schema | Field | Type | Description | |-------|------|-------------| | `context` | `list[str]` | Previous conversation turns | | `question` | `str` | Context-dependent question | | `rewrite` | `str` | Self-contained rewrite | | `dataset` | `str` | Source dataset | | `split` | `str` | Original split | | `index` | `int` | Original index | ## Splits | Split | Count | |-------|-------| | train | 83702 | | validation | 2196 | | test | 19824 | ## Sources **QReCC** ([apple/ml-qrecc](https://github.com/apple/ml-qrecc)) - Apache 2.0 ```bibtex @inproceedings{anantha-etal-2021-qrecc, title = "Open-Domain Question Answering Goes Conversational via Question Rewriting", author = "Anantha, Raviteja and Vakulenko, Svitlana and Tu, Zhucheng and Longpre, Shayne and Pulman, Stephen and Chappidi, Srinivas", booktitle = "NAACL", year = "2021", url = "https://aclanthology.org/2021.naacl-main.44", } ``` **CANARD** ([uva-irlab/canard_quretec](https://huggingface.co/datasets/uva-irlab/canard_quretec)) - CC BY-SA 4.0 ```bibtex @inproceedings{elgohary-etal-2019-canard, title = "Can You Unpack That? Learning to Rewrite Questions-in-Context", author = "Elgohary, Ahmed and Peskov, Denis and Boyd-Graber, Jordan", booktitle = "EMNLP-IJCNLP", year = "2019", url = "https://aclanthology.org/D19-1605", } ``` **Redis Examples** - Hand-crafted examples by Redis - Apache 2.0 ## Citation If you use this dataset, please cite this Hugging Face entry and the source datasets above. ```bibtex @misc{zhechev2025cqr, title = "Conversational Query Rewriting Dataset", author = "Zhechev, Iliya and Ralev, Rado and Rajamohan, Srijith and Redis", year = "2025", publisher = "Hugging Face", url = "https://huggingface.co/datasets/redis/langcache-cqr-v1", } ```